scholarly journals International Migration and Regional Housing Markets: Evidence from France

2018 ◽  
Vol 42 (2) ◽  
pp. 147-180 ◽  
Author(s):  
Hippolyte d’Albis ◽  
Ekrame Boubtane ◽  
Dramane Coulibaly
Keyword(s):  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Significant Relationship ◽  
Social Housing ◽  
Housing Markets ◽  
Administrative Records ◽  
Property Prices ◽  
Per Capita ◽  
Migration Flows ◽  
Panel Vector Autoregression

This article examines the causal relations between immigration and the characteristics of the housing market in host regions. We constructed a unique database from administrative records and used it to assess annual migration flows into France’s twenty-two administrative regions from 1990 to 2013. We then estimated various panel vector autoregression models, taking into account gross domestic product per capita and the unemployment rate as the main regional economic indicators. We find that immigration has no significant effect on property prices but that higher property prices significantly reduce immigration rates. We also find no significant relationship between immigration and social housing supply.

scholarly journals Autoregressive Distributed Lag Modeling of the Effects of Some Macroeconomic Variables on Economic Growth in Nigeria

2019 ◽  
Author(s):  
Monday Osagie Adenomon ◽  
Rotimi Olalekan Ojo
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Domestic Product ◽  
Real Gross Domestic Product ◽  
Long Run ◽  
Short Run ◽  
Per Capita

Research background: Relationship between inflation rate, unemployment rate, interest rate and real gross domestic product per capita in Nigeria. However, there seems to be a short-run or long-run relationship among the macroeconomic variables.Purpose: This study investigated the impact of the inflation rate, unemployment rate and interest rate on real gross domestic product per capita (RGDPPC) (proxy for economic growth) and proffered recommendations towards enhancing economic growth and to reduce the distasteful effects of inflation rate, unemployment rate and interest rate in Nigeria in this present time economic challenges.Research methodology: This study applied a linear dynamic model Autoregressive Distributed Lag (ARDL) modeling technique to analyze the short-run dynamics and long-run relationship of the economic growth in Nigeria over the sample period between 1984 and 2017 using annual secondary data extracted from World Bank Development Indicators Report (last updated January 2019).Results: The empirical results showed that there was long-run relationship between inflation rate, unemployment rate and interest rate on real gross domestic product per capita (proxy for economic growth) in Nigeria. The result further revealed that only unemployment rate had a significant positive impact on real gross domestic product per capita in the long-run and inflation rate had a significant negative impact on real gross domestic product per capita in the short-run.Novelty: Therefore, the study concluded that unemployment rate and inflation rate proved to have significant impacts on economic growth in the long-run and short-run respectively. Formulation of policies to reduce unemployment through the adoption of labour concentrated technique of production, entrepreneurship development and policy to keep the inflation rate at single digit.

scholarly journals Autoregressive Distributed Lag Modeling of the Effects of Some Macroeconomic Variables on Economic Growth in Nigeria

2020 ◽  
Vol 20 (2) ◽  
pp. 1-19
Author(s):  
Monday Osagie Adenomon ◽  
Rotimi Olalekan Ojo
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Domestic Product ◽  
Real Gross Domestic Product ◽  
Long Run ◽  
Short Run ◽  
Per Capita

Abstract Research background: The relationship between inflation rate, unemployment rate, interest rate and real gross domestic product per capita in Nigeria. However, there seems to be a short-run or long-run relationship among the macroeconomic variables. Purpose: This study investigated the long and short run impacts of the inflation rate, unemployment rate and interest rate on real gross domestic product per capita (RGDPPC) (proxy for economic growth). Research methodology: This study applied a linear dynamic model Autoregressive Distributed Lag (ARDL) modeling technique to analyze the short-run dynamics and long-run relationship of economic growth in Nigeria over the sample period between 1984 and 2017 using annual secondary data extracted from the World Bank Development Indicators Report. Results: The empirical results showed that there was a long-run relationship between the inflation rate, unemployment rate and interest rate on real gross domestic product per capita (proxy for economic growth) in Nigeria. The results further revealed that only the unemployment rate had a significant positive impact on real gross domestic product per capita in the long-run and the inflation rate had a significant negative impact on real gross domestic product per capita in the short-run. Novelty: Therefore, the study concluded that the unemployment rate and inflation rate proved to have significant impacts on economic growth in the long-run and short-run respectively. The formulation of policies to reduce unemployment through the adoption of a labour concentrated technique of production, entrepreneurship development and policy to keep the inflation rate a single digit.

scholarly journals Perkembangan Indikator Ekonomi dan Kemakmuran Indonesia Dibandingkan dengan 6 Negara Tetangga Periode 2005-2012

2014 ◽  
Vol 5 (1) ◽  
pp. 101
Author(s):  
Theresia Lesmana
Keyword(s):  
Growth Rate ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Secondary Data ◽  
Economic Indicator ◽  
Output Growth ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Fourth Position

In this study, the writer attempts basically to look at the economic indicator from three things, there are output growth rate, unemployment rate and inflation rate. For state prosperity indicator, the writer uses Gross Domestic Product (GDP) per capita. Object of this study uses the data from seven countries. They are Indonesia, Malaysia, Thailand, Singapura, Filipina, India and Cina. Economic and state prosperity indicator is viewed from the growth of eight years period from 2005 until 2012. The writer uses secondary data that is available on websites, such as website of International Monetary Fund, Central Statistic Body and etc. The analysis shows that Indonesia is at fourth position for output growth rate, sixth position for unemployment rate, the second position for inflation rate and the highest position for GDP per capita.

scholarly journals Models With Varying Parameters as A Tool to Classify Polish Voivodships in 2002-2008

2010 ◽  
Vol 9 (1) ◽  
pp. 139-150
Author(s):  
Barbara Batóg ◽  
Katarzyna Wawrzyniak
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Similar Pattern ◽  
Domestic Product ◽  
Panel Data Models ◽  
Varying Parameters ◽  
Level Of Economic Development ◽  
Per Capita

Models With Varying Parameters as A Tool to Classify Polish Voivodships in 2002-2008 One of the often used measures of economic development is gross domestic product per capita. In Poland the Main Statistical Office collects the data on this variable on several levels of aggregation. The paper shows the application of panel data models in order to classify Polish voivodships according to the level of economic development. As explained variable the regional GDP per capita was used and such variables as structure of employees, unemployment rate or retail sales per capita were the explaining variables. As a result the groups of voivodships with similar pattern of economic development were distinguished.

scholarly journals Research of Internal Migration by Compartment Models

2017 ◽  
Vol 6 (1) ◽  
pp. 127-148
Author(s):  
Fatih Cakmak ◽  
Erkan Oktay
Keyword(s):  
Gross Domestic Product ◽  
Unemployment Rate ◽  
Internal Migration ◽  
Scientific Research ◽  
Domestic Product ◽  
Compartment Models ◽  
Research Areas ◽  
Migration Flows ◽  
Significant Change ◽  
Complex Components

Migration, which consists of quite complex components, is a concept subjected in many scientific research areas. Internal migration refers a migration occurred in the boundaries of a country. Migration in Turkey usually tends to be directed towards larger and more industrialized provinces. Nevertheless, there exists a density on the direction of certain provinces such as migration from Erzurum to Bursa. Nowadays, the proceeding of the migration flows between Erzurum and Bursa since 1980’s is another point which necessitates to be examined. The purpose of this study is to investigate the migration between Erzurum and Bursa by using compartment models in the 1980-2015 period. The paper performs compartment models to explain the changes of migration flows in terms of gross domestic product, unemployment rate, and time. According to the results, there is a significant increase in migration from Erzurum to Bursa depending on the time of migration and unemployment rate. Nonetheless, there is no significant change related with the gross domestic product. In addition, the study has shown that migration increases as unemployment rate decreases; but there is no significant change in migration depending on time and gross domestic product from Bursa to Erzurum.

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

New protests in Chile

1982 ◽  
Vol 11 (6) ◽  
pp. 17-19
Author(s):  
Malcolm Coad
Keyword(s):  
Human Rights ◽  
Unemployment Rate ◽  
Foreign Debt ◽  
Public Servants ◽  
The Public ◽  
Economic Miracle ◽  
The World ◽  
Per Capita ◽  
National Trade ◽  
The Church

Chile's military regime in 1982 celebrated its ninth anniversary to the accompaniment of the most widespread and publicly expressed opposition since the coup of 11 September 1973. The collapse of its much-vaunted ‘economic miracle’ … most painfully demonstrated by devastated national industries, an unemployment rate of 25%, and a foreign debt estimated by some economists as the highest per capita in the world … has brought criticism from even the most ardent supporters of General Pinochet. As legal labour representatives became more vocal, leaders of the largest union federation, the National Trade Union Co-ordinating Body (CNS), were jailed, while in February the outspoken President of the Public Servants Union, Tucapel Jimenez, was found dead and mutilated by a roadside near Santiago. In the first six months of this year 837 people were charged with political offences, an increase of more than a third over the same period in 1981, while thousands more were detained on suspicion and reports of torture increased. Relations between the regime and the Church worsened, despite the latter's reining in of some of its human rights activity.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KESEJAHTERAAN MASYARAKAT KOTA PADANG

2020 ◽  
Vol 11 (1) ◽  
pp. 67
Author(s):  
Rizki Afri Mulia ◽  
Nika Saputra
Keyword(s):  
Unemployment Rate ◽  
Research Method ◽  
Quantitative Research ◽  
Regression Coefficient ◽  
Sampling Technique ◽  
Domestic Product ◽  
Poor People ◽  
The People ◽  
Per Capita ◽  
The City

This study aims to analyze the factors that affect the welfare of the people of the City of Padang measured using the Human Development Index consisting of: 1) To determine the effect of the Per Capita Gross Regional Domestic Product on the welfare of the people in the City of Padang. 2) To determine the effect of number of Poor in community welfare in Padang. 3) To determine the effect of Unemployment Rate on the welfare of people in the city of Padang. The research method used in this research is descriptive quantitative research method. The sampling technique in this study is total sampling. Data collection was performed using documentation and hypothesis testing techniques in this study using multiple linear regression test. Based on the results of the study note that: 1) The regression coefficient value of GDP per capita is equal to 0.0000002 with a probability of 0.001 which is smaller than 0.05. 2) The regression coefficient value of the number of poor population is 0.156 with a probability of 0.526 which is smaller than 0.05. 3) The regression coefficient value of the Open Unemployment Rate is -0,00014 with a probability of 0.117 less than 0.05. The conclusions that can be drawn are as follows: 1) Gross Regional Domestic Product (GRDP) has a positive and significant effect on the welfare of the people in Padang City. 2) The number of poor people has no significant effect on the welfare of the people in the city of Padang. 3) Open Unemployment Rate has no negative and significant effect on the welfare of the people in Padang City.

Abstract P360: Hypertension Treatment Rates And Health Worker Density: An Analysis Of Worldwide Data

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim
Keyword(s):  
Gross Domestic Product ◽  
Health Worker ◽  
World Bank ◽  
Domestic Product ◽  
Hypertension Treatment ◽  
Treatment Rate ◽  
Capita Gross Domestic Product ◽  
The World ◽  
Per Capita ◽  
The Relationship

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.

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